whisper-large-v2-ft-cv16-1__car200-e3n4-A50E100_owner12-copy2x-241217-v1

• Loss: 0.1109

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.0